A graph-based computational framework for simulation and optimisation of coupled infrastructure networks
Abstract
Here, we present a computational framework that facilitates the construction, instantiation, and analysis of large-scale optimization and simulation applications of coupled energy networks. The framework integrates the optimization modeling package PLASMO and the simulation package DMNetwork (built around PETSc). These tools use a common graphbased abstraction that enables us to achieve compatibility between data structures and to build applications that use network models of different physical fidelity. We also describe how to embed these tools within complex computational workflows using SWIFT, which is a tool that facilitates parallel execution of multiple simulation runs and management of input and output data. We discuss how to use these capabilities to target coupled natural gas and electricity systems.
- Authors:
-
- Univ. of Wisconsin-Madison, Madison, WI (United States)
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1393955
- Alternate Identifier(s):
- OSTI ID: 1786635
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IET Generation, Transmission, & Distribution
- Additional Journal Information:
- Journal Volume: 11; Journal Issue: 12; Journal ID: ISSN 1751-8687
- Publisher:
- Institution of Engineering and Technology
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 42 ENGINEERING; graph; instantiation; large-scale; optimization; parallel; simulation; workflows; power engineering computing; optimisation; power system simulation
Citation Formats
Jalving, Jordan, Abhyankar, Shrirang, Kim, Kibaek, Hereld, Mark, and Zavala, Victor M. A graph-based computational framework for simulation and optimisation of coupled infrastructure networks. United States: N. p., 2017.
Web. doi:10.1049/iet-gtd.2016.1582.
Jalving, Jordan, Abhyankar, Shrirang, Kim, Kibaek, Hereld, Mark, & Zavala, Victor M. A graph-based computational framework for simulation and optimisation of coupled infrastructure networks. United States. https://doi.org/10.1049/iet-gtd.2016.1582
Jalving, Jordan, Abhyankar, Shrirang, Kim, Kibaek, Hereld, Mark, and Zavala, Victor M. Mon .
"A graph-based computational framework for simulation and optimisation of coupled infrastructure networks". United States. https://doi.org/10.1049/iet-gtd.2016.1582. https://www.osti.gov/servlets/purl/1393955.
@article{osti_1393955,
title = {A graph-based computational framework for simulation and optimisation of coupled infrastructure networks},
author = {Jalving, Jordan and Abhyankar, Shrirang and Kim, Kibaek and Hereld, Mark and Zavala, Victor M.},
abstractNote = {Here, we present a computational framework that facilitates the construction, instantiation, and analysis of large-scale optimization and simulation applications of coupled energy networks. The framework integrates the optimization modeling package PLASMO and the simulation package DMNetwork (built around PETSc). These tools use a common graphbased abstraction that enables us to achieve compatibility between data structures and to build applications that use network models of different physical fidelity. We also describe how to embed these tools within complex computational workflows using SWIFT, which is a tool that facilitates parallel execution of multiple simulation runs and management of input and output data. We discuss how to use these capabilities to target coupled natural gas and electricity systems.},
doi = {10.1049/iet-gtd.2016.1582},
journal = {IET Generation, Transmission, & Distribution},
number = 12,
volume = 11,
place = {United States},
year = {Mon Apr 24 00:00:00 EDT 2017},
month = {Mon Apr 24 00:00:00 EDT 2017}
}
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Works referencing / citing this record:
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